Knowledge Benchmark

SuperGPQA

SuperGPQA - graduate-level multi-domain QA benchmark.

Category

Knowledge

Score type

percent

Scale

100%

higher is better

Models tested

23

What is SuperGPQA?

SuperGPQA is a graduate-level multiple-choice exam covering 285 disciplines — a very broad, very hard knowledge test. It extends the GPQA idea to many more fields and professions.

What does it test?

SuperGPQA measures broad factual and academic knowledge. In detail, it checks:

  • expert knowledge across hundreds of fields
  • hard distractors with several plausible answers
  • long-tail knowledge, not just famous textbook facts
  • resistance to shallow pattern matching

How to read the score

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Frequently asked questions

What is the SuperGPQA benchmark?

SuperGPQA is a graduate-level multiple-choice exam covering 285 disciplines — a very broad, very hard knowledge test. It extends the GPQA idea to many more fields and professions.

What does SuperGPQA test?

SuperGPQA mainly measures broad factual and academic knowledge. Concretely, it checks: expert knowledge across hundreds of fields; hard distractors with several plausible answers; long-tail knowledge, not just famous textbook facts.

How is the SuperGPQA score calculated?

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.

Where do I get SuperGPQA data and scores?

The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/supergpqa/scores) or pull it directly from the Open LLM Radar API with any HTTP client.

Model scores 23 models tested

Reset
# Model Score Date Source Verified
1 Qwen3.5-122B-A10B
Qwen Team (Alibaba Cloud)
67.1%
01.02.2026 Report Verified
2 Qwen3.6-27B
Qwen Team (Alibaba Cloud)
66%
22.04.2026 Qwen Team (official model card) Verified
3 Gemma4-31B-it
Google
65.7%
16.04.2026 Qwen Team (official model card - comparison) Unverified
4 Qwen3.5-27B
Qwen Team (Alibaba Cloud)
65.6%
16.04.2026 Qwen Team (official model card - comparison) Unverified
5 Qwen3-235B-A22B
Qwen Team (Alibaba Cloud)
64.9%
01.02.2026 Report Unverified
6 Qwen3.6-35B-A3B
Qwen Team (Alibaba Cloud)
64.7%
16.04.2026 Qwen Team (official model card) Verified
7 Qwen3.5-35B-A3B
Qwen Team (Alibaba Cloud)
63.4%
16.04.2026 Qwen Team (official model card - comparison) Unverified
8 Gemma4-26B-A4B
Google
61.4%
16.04.2026 Qwen Team (official model card - comparison) Unverified
9 Qwen3-Next-80B-A3B-Thinking
Qwen
60.8%
10.09.2025 Report Verified
10 Qwen3-30B-A3B-Thinking-2507
Qwen
56.8%
31.07.2025 Report Verified
11 DeepSeek-V4-Pro
DeepSeek
53.9%
26.06.2026 Report Verified
12 Qwen3-VL-30B-A3B
Qwen
53.1%
04.10.2025 Report Verified
13 Qwen3.5-4B
Qwen
52.9%
01.02.2026 Report Verified
14 Qwen3-30B-A3B
Qwen
51.8%
29.04.2025 Report Verified
15 DeepSeek-V4-Flash
DeepSeek
46.5%
26.06.2026 Report Verified
16 MiniCPM5-2B
OpenBMB
40.8%
— Report Verified
17 granite-4.2-3B
IBM
39.9%
— Report Verified
18 Gemma4-E4B
Google
38.7%
— Report Verified
19 Qwen3.5-2B
Qwen Team (Alibaba Cloud)
38.6%
— Report Verified
20 Nemotron-3-Nano-4B
NVIDIA
37.8%
— Report Verified
21 LFM2.5-8B-A1B
LiquidAI
34.5%
— Report Verified
22 Gemma4-E2B
Google
30.3%
— Report Verified
23 LFM2.5-2.6B
LiquidAI
26.2%
— Report Verified

What now?

You've seen how models score on SuperGPQA — here's what to do next.